# Copyright 2021 Huawei Technologies Co., Ltd
#
# Licensed under the BSD 3-Clause License  (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://opensource.org/licenses/BSD-3-Clause
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import torch

from mmcls.models.utils import ConditionalPositionEncoding


def test_conditional_position_encoding_module():
    CPE = ConditionalPositionEncoding(in_channels=32, embed_dims=32, stride=2)
    outs = CPE(torch.randn(1, 3136, 32), (56, 56))
    assert outs.shape == torch.Size([1, 784, 32])
